Results 171 to 180 of about 6,567 (220)

Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition

Optical Engineering: The Journal of SPIE, 2020
. We explore the blending of model-based and deep learning approaches for target recognition in inverse synthetic aperture radar (ISAR) imagery. It evaluates five different approaches, namely, a model-based geometric hashing approach, a supervised deep ...
Rajkumar Theagarajan, B. Bhanu, T. Erpek, Yik-Kiong Hue, Robert Schwieterman, Kemal Davaslioglu, Yi Shi, Y. Sagduyu   +7 more
semanticscholar   +1 more source

Micro‐Doppler effect removal for inverse synthetic aperture radar imaging based on augmented Lagrange multipliers

Microwave and optical technology letters (Print), 2020
Micro‐Doppler (MD) effect may decrease the readability of inverse synthetic aperture radar (ISAR) imaging results, so it is more desirable to solve the problem of MD effect removal.
Hongxin Yang, Su Fulin
semanticscholar   +1 more source

A translational motion compensation technique for inverse synthetic aperture radar images using multi‐objective particle swarm optimization algorithm

Microwave and optical technology letters (Print), 2020
In this study, a novel multi‐objective (MO) motion compensation (MC) technique is proposed to clear blur effects in the inverse synthetic aperture radar (ISAR) images resulted by the translational motion of the target.
E. Yiğit
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging Using Fourier Transform Technique

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), 2019
Inverse Synthetic Aperture Radar (ISAR) imaging techniques are used to estimate the target spatial image using target backscatter data. In the ISAR measurement environment, the target is often modeled as a collection of point scatterers to take advantage
Priyanka Shakya, A. B. Bazil Raj
semanticscholar   +1 more source

Attitude Estimation for Space Targets by Exploiting the Quadratic Phase Coefficients of Inverse Synthetic Aperture Radar Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2019
This paper proposes a novel approach to interpreting the satellite attitude based on inverse synthetic aperture radar (ISAR) images. In the conventional viewpoint, quadratic and higher order phase terms of ISAR imagery are regarded as negative factors ...
Yejian Zhou, Lei Zhang, Yunhe Cao
semanticscholar   +1 more source

Resolution enhancement for inverse synthetic aperture radar images using a deep residual network

Microwave and optical technology letters (Print), 2019
A framework for inverse synthetic aperture radar (ISAR) image resolution enhancement using a deep residual network is proposed. Our framework directly learns an end‐to‐end mapping in the form of a deep residual network (ResNet) between the input low ...
Xunzhang Gao, Dan Qin, Jingkun Gao
semanticscholar   +1 more source

An Inverse Synthetic Aperture Radar Image Modulation Method Based on Coding Phase-Switched Screen

IEEE Sensors Journal, 2019
Multiple false target images deception is an effective strategy to protect vital military targets from detection and recognition by inverse synthetic aperture radar (ISAR).
Junjie Wang, D. Feng, Ran Zhang, Letao Xu, Weidong Hu   +4 more
semanticscholar   +1 more source

3-D Interferometric Inverse Synthetic Aperture Radar Imaging of Ship Target With Complex Motion

IEEE Transactions on Geoscience and Remote Sensing, 2018
A novel algorithm for 3-D interferometric inverse synthetic aperture radar (InISAR) imaging of ship target with complex motion via orthogonal double baseline is presented.
Yong Wang, Xuefei Chen
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging Using a Deep ADMM Network

International Radar Symposium, 2019
In the past decade, the compressive sensing (CS) based ISAR imaging methods have gained much interest due to the capability of obtaining high-quality images with under-sampled data.
Changyu Hu, Ze Li, Ling Wang, Jun Guo, O. Loffeld   +4 more
semanticscholar   +1 more source

Inverse synthetic aperture radar imaging with two-dimensional cluster sparse structure by matrix-formed iteratively reweighted complex approximate message passing

Journal of Applied Remote Sensing, 2018
. A matrix-formed iteratively reweighted complex approximate message passing (MIRCAMP) method is proposed for inverse synthetic aperture radar (ISAR) imaging with two-dimensional (2-D) cluster sparse structure.
Wenfeng Chen, Long Xiang, Jun Yang, Xiao-yan Ma, Ning Ma   +4 more
semanticscholar   +1 more source